COR-STAT1202 GOH JING RONG PDF

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Description of the course - introductory statistics with professor Goh....

Description

SMU Classification: Restricted

School of Economics Academic Year 2020-21 Term 1

COR-STAT1202 INTRODUCTORY STATISTICS Instructor Name Email Tel Office

: Dr. Goh Jing Rong : [email protected] : :

COURSE DESCRIPTION This course aims at introducing students to the basic concepts of statistics and its applications. The uses of spreadsheet and statistical software are integrated into most topics of the course. Topics include descriptive statistics, basic concepts of probability, discrete and continuous probability distributions, sampling distributions, statistical estimation, hypothesis testing, linear regression etc.

LEARNING OBJECTIVES In modern society, statistics is about almost everything from opinion polls to weather forecasting to the latest modeling of influenza H1N1 outbreaks. Indeed, it is now difficult to single out any particular discipline that is not directly or indirectly linked with statistics in one way or the other. Therefore, understanding the core ideas behind statistics becomes essential to any educated individual to function effectively and efficiently in everyday life. Upon completion of this course, students will be able to: • Appreciate statistical reasoning; • Understand different ways of conducting a statistical study; • Identify types of data; • Deal with errors; • Interpret and evaluate graphical presentations; • Evaluate various measures of risk in daily life based on probability; • Identify and interpret of correlation between two variables; • Be aware that correlation does not necessarily imply causality; • Formulate the null and alternative hypotheses; • Understand the concept of statistical significance; • Interpret the results of statistical estimation and hypothesis testing; • Be familiar with R programming in order to deal with statistical problems; • Understand statistical modeling. This course is designed for students who do not have any statistics and probability background. ASSESSMENT METHODS Class Participation Assignments/Group Project Mid-term Test Final Examination Total

: 10% : 20% : 30% : 40% : 100%

Faculty have been instructed not to reuse questions verbatim from past year papers or published test banks, for the graded continuous assessments and examinations in this course. 1

SMU Classification: Restricted

ACADEMIC INTEGRITY All acts of academic dishonesty (including, but not limited to, plagiarism, cheating, fabrication, facilitation of acts of academic dishonesty by others, unauthorized possession of exam questions, or tampering with the academic work of other students) are serious offences. All work (whether oral or written) submitted for purposes of assessment must be the student’s own work. Penalties for violation of the policy range from zero marks for the component assessment to expulsion, depending on the nature of the offense. When in doubt, students should consult the instructors of the course. Details on the SMU Code of Academic Integrity may be accessed at http://www.smuscd.org/resources.html.

ACCESSIBILITY SMU strives to make learning experiences accessible for all. If students anticipate or experience physical or academic barriers due to disability, please let the instructor know immediately. Students are also welcome to contact the university's disability services team if they have questions or concerns about academic provisions: [email protected]. Please be aware that the accessible tables in the seminar room should remain available for students who require them.

EMERGENCY PREPAREDNESS FOR TEACHING AND LEARNING (EPTL) Where there is an emergency that makes it infeasible to have classes on campus, classes will be conducted online via WebEx, with no disruption to the schedule. To familiarise students with the WebEx platform, part of this course may be conducted online. The instructor will inform students of which classes, if any, will be conducted as part of this EPTL initiative. CLASS TIMINGS Class sessions are of 3-hour duration per week. Each session will involve a lecture and a discussion of assignments and class works.

RECOMMENDED TEXT AND READINGS David M. Levine, David F. Stephan, and Kathryn A. Szabat, (2017) Statistics for Managers Using Microsoft Excel – 8th edition, Pearson (You may use the 7th edition).

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SMU Classification: Restricted

WEEKLY LESSON PLAN Week

Topic

Readings

1

17 Aug 20

Overview of Probability and Statistics

0&1

2

24 Aug 20

Descriptive Statistics

2&3

3

31 Aug 20

Basic Probability*

4

4

7 Sep 20

Discrete Probability Distributions*

5

5

14 Sep 20

Continuous Probability Distributions*

6

6

21 Sep 20

Sampling Distributions

7

7

28 Sep 20

Point and Confidence Interval Estimation

8

8

5 Oct 20

9

12 Oct 20

Mid-Term Test (in class, details will be announced later)

10

19 Oct 20

Fundamentals of Hypothesis Testing; One Sample Tests

9

11

26 Oct 20

Two Sample Tests

10

12

2 Nov 20

Simple Linear Regression

13

13

9 Nov 20

Simple Linear Regression and Group Project Presentations

13

14

16 Nov 20

Revision Week

15

23 Nov 20

16

30 Nov 20

Recess Week

Final Examination

* Materials in week 3, 4, and 5 are more challenging for beginners. Updated on 1st June, 2020

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